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Today and earlier editions, with their original dates and sources.

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Public LifeIn use

Google DeepMind’s AI model called Hurricane Isaias’s Florida Panhandle landfall while physics-based models pointed toward Louisiana

Hurricane Isaias hit Destin, Florida, as a Category 2 storm on October 9. Google DeepMind’s AI model, which the National Hurricane Center has used in its official forecasts since 2025, pointed to the western Florida Panhandle from the start, while conventional models first sent the storm toward southeastern Louisiana. A preliminary HurriLab analysis found it timed landfall within a few hours, three days out.

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Science & NatureIn use

AI checked 1,176,380 tunnel photos this season and found the 384 showing endangered Cape Town toads using their road underpass

Cameras in six toad tunnels under Peninsula Road in Cape Town’s False Bay Nature Reserve snap a photo every 15 seconds, all night. This season that came to 1,176,380 photos. An AI model built by AIMS South Africa student Joshua Salako picked out the 384 that show an endangered Western Leopard Toad, and the Nature Connect team confirms every one.

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DelightPromising

Machine learning listened to wild elephant choruses in Kenya and found the overlapping rumbles carry clues about what the herd is doing

Researchers at Earth Species Project, ElephantVoices and the Amboseli Trust for Elephants ran machine learning on 902 rumble recordings from wild elephants in Kenya’s Amboseli National Park. The models named what the elephants were doing from overlapping choruses better than chance, and during reunions and group plans, the callers’ rumbles grew more alike as the exchange went on.

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DelightPromising

An AI listening network estimated how many singing indri lemur families live in a Madagascar forest, and it landed close to the real number

University of Turin researchers hung 26 recorders in Madagascar’s Maromizaha forest and used an AI model to pick out the songs of the indri, the world’s largest lemur. Their peer-reviewed estimate of 5.55 indri groups per square kilometer came close to the known 6.17, a promising way to count a critically endangered species without disturbing it.

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Science & NaturePromising

AI listens to bee buzz to track pollinator activity

Ecologists at UMass Amherst and Cornell trained two AI sound models to pick bees out of field recordings, including telling honey bees from bumble bees. In a peer-reviewed study, the models’ counts closely tracked trained observers, and they now run inside Raven Pro, a sound tool many wildlife researchers already use. A recorder in a flower patch can stand in for soapy traps that kill bees.

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Public LifeIn use

AI that listens to water pipes helped Northumbrian Water save about 6.4 million litres a day last winter

Northumbrian Water fixed more than 1,000 listening sensors to 149 km of pipe in north-east England, and AI picked out the sound of water escaping underground so technicians knew where to look. Over last winter’s high-risk months, the utility says, the project helped save around 6.4 million litres of water a day. In September it won a national UK monitoring award.

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Public LifeIn use

AI watching nearly 1,300 hilltop cameras is now first to spot 51% of California’s wildfires, its director says

Alert California, a UC San Diego program, runs nearly 1,300 cameras on the state’s fire-prone peaks, and since 2023 AI has scanned the footage for smoke. In 2024 the cameras beat 911 callers to 636 fires. In 2025 they beat them on more than half of about 3,600 incidents. This summer the program’s director said AI now spots 51% of California’s wildfires first.

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DelightPromising

AI combed birdwatchers’ casual notes and flagged 29,345 that may describe wildlife encounters

Birdwatchers often add a quick note to a sighting, like “Mixed with bohemians.” University of Michigan researchers had AI screen 632,169 of those comments from Michigan eBird records and flag 29,345 that may describe birds flocking, feeding or chasing off predators together. Checked against a student’s hand sorting, a second AI sorted about four in five correctly, in minutes. People still check the work.

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